{"id":"W4241492275","doi":"10.5325/shaw.40.2.0397","title":"Notices","year":2020,"lang":"en","type":"article","venue":"Shaw","topic":"Literature Analysis and Criticism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001828551,0.00003200837,0.00008772066,0.000009243223,0.00001274436,0.00001335677,0.00002423222,0.00001935957,0.0007336808],"category_scores_gemma":[0.00003443518,0.00002276613,0.00004732768,0.00008579259,0.00000913568,0.00002736397,0.0000085559,0.00005659987,0.000250496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002147741,"about_ca_system_score_gemma":0.000008806443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000233621,"about_ca_topic_score_gemma":4.773727e-7,"domain_scores_codex":[0.9997228,0.000004233502,0.0000575089,0.00007858816,0.0000773592,0.0000594502],"domain_scores_gemma":[0.9998131,0.00000712966,0.00000768581,0.00006559766,0.00002408528,0.00008244817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005345528,0.0005753988,0.104404,0.001152701,0.001056831,0.001848728,0.01983697,0.00002004571,0.09005681,0.1200003,0.5980378,0.06247579],"study_design_scores_gemma":[0.0007420988,0.0002437716,0.009263543,0.00004929787,0.000319432,0.000008567247,0.0003417342,0.001448622,0.0050942,0.0002724473,0.9820978,0.0001184836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4015483,0.003186592,0.0003779568,0.1431832,0.0001465384,0.0001668011,0.000009528893,0.0001714227,0.4512097],"genre_scores_gemma":[0.9765543,0.00000417176,0.0003424993,0.02163487,0.0003336099,8.889665e-7,0.000009256102,0.000003863364,0.001116586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5750059,"threshold_uncertainty_score":0.803329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359526953493429,"score_gpt":0.2732972802560263,"score_spread":0.249702010721092,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}